• DPpackage

  • Referenced in 68 articles [sw10495]
  • regression functions. Unfortunately, posterior distributions ranging over function spaces are highly complex and hence sampling ... nonparametric and semiparametric models in R, DPpackage. Currently, DPpackage includes models for marginal and conditional ... mixed models, and regression data using generalized additive models. The package also contains functions...
  • refund

  • Referenced in 55 articles [sw07434]
  • observations. Curve estimates implicitly condition on basis functions and other quantities derived from FPC decompositions ... decompositions. Additionally, pointwise and simultaneous confidence intervals that account for both model- and decomposition ... based variability are constructed. Standard mixed model representations of functional expansions are used to construct...
  • gamm4

  • Referenced in 6 articles [sw13220]
  • generalized additive mixed models via a version of mgcv’s gamm function, using lme4...
  • ordinal

  • Referenced in 26 articles [sw12561]
  • Estimation is via maximum likelihood and mixed models are fitted with the Laplace approximation ... model methods are available (summary, anova, drop-methods, step, confint, predict etc.) in addition ... slice methods for visualizing the likelihood function and checking convergence...
  • mlrMBO

  • Referenced in 8 articles [sw19214]
  • approximating the given objective function through a surrogate regression model. It is designed for both ... multi-objective optimization with mixed continuous, categorical and conditional parameters. Additional features include multi-point...
  • kinship2

  • Referenced in 7 articles [sw24917]
  • family data in mixed effects models, such as in the coxme function. Also includes ... producing compact layouts without intervention. Recent additions include utilities to trim the pedigree object with...
  • AdaptFitOS

  • Referenced in 7 articles [sw06774]
  • curves in additive models. The method allows for handling of spatially heterogeneous functions ... nonlinear age pattern in undernutrition. Model estimation using the mixed model representation of penalized splines...
  • RSGHB

  • Referenced in 5 articles [sw23112]
  • likelihood function directly instead of assuming predetermined model structures. Types of models that ... family of discrete choice models (Multinomial Logit, Mixed Logit, Nested Logit, Error Components Logit ... well ordered response models like ordered probit and ordered logit. In addition, the package allows ... basis for a few of the functions included in this package. These Matlab/Gauss functions have...
  • MAiNGO

  • Referenced in 7 articles [sw27878]
  • deterministic global optimization software for solving mixed-integernonlinear programs (MINLP). It is applicable ... functions (including severalfunctions relevant to process systems engineering), and significant flexibility in model formulation.In addition...
  • pammtools

  • Referenced in 2 articles [sw34835]
  • event) data, based on Generalized Additive (Mixed) Models (GA(M)Ms). It offers intuitive specification ... robust estimation of complex survival models with stratified baseline hazards, random effects, time-varying effects ... PAMMs, including data simulation, transformation and other functions for data preprocessing and model post-processing...
  • abn

  • Referenced in 2 articles [sw31036]
  • additive formulation of these models is equivalent to multivariate generalised linear modelling (including mixed models ... core functionality is concerned with model selection - determining the most robust empirical model of data ... estimate goodness of fit metrics and model parameters, and wrappers are also included ... case studies, numerical accuracy/quality assurance exercises, and additional documentation are available from the ’abn’ website...
  • nadiv

  • Referenced in 1 article [sw25019]
  • Additive Genetic Relatedness Matrices. Constructs (non)additive genetic relationship matrices, and their inverses, from ... linear mixed effect models (A.K.A. the ’animal model’). Also includes other functions to facilitate...
  • sommer

  • Referenced in 0 articles [sw15118]
  • Expectation-Maximization, Newton-Raphson, or Efficient Mixed Model Association algorithms. Designed for genomic prediction ... also functional as a regular mixed model program...
  • DISNEL

  • Referenced in 5 articles [sw00207]
  • nonlinear programming).\parIn addition to solving the standard ILP and mixed ILP, the package also ... solves one-parameter linear discrete models and different types of location and extremal combinatorial problems ... convex programs do not assume differentiability of functions and are solved by a generalized gradient...
  • TACO

  • Referenced in 4 articles [sw10169]
  • AMPL modeling language to conveniently model mixed-integer optimal control problems ... These extensions are realized as AMPL user functions and suffixes and do not require intrusive ... solver. In addition, we show how the MS-MINTOC algorithm for mixed-integer optimal control ... used to efficiently solve mixed-integer optimal control problems modeled in AMPL...
  • nlmeU

  • Referenced in 4 articles [sw07431]
  • functions based on them is followed by a new set of examples which model visual ... linear mixed effects models, briefly presented in chapter 20. In addition to a great collection...
  • sjstats

  • Referenced in 2 articles [sw16146]
  • additional effort (like standard errors or root mean squared errors). Second, these shortcut functions ... computed for vectors, linear models, or linear mixed models; the r2()-function returns...
  • iHixs

  • Referenced in 2 articles [sw11468]
  • through NNLO, real and virtual electroweak corrections, mixed QCD-electroweak corrections, quark-mass effects through ... order perturbation theory in the Standard Model. In addition, it allows for a consistent evaluation ... required in extensions of the Standard Model. iHixs is interfaced with the LHAPDF library ... available NNLO sets of parton distribution functions...
  • netgwas

  • Referenced in 3 articles [sw21512]
  • Studies. Graphical models provide powerful tools to model and make the statistical inference regarding complex ... independence network for non-Gaussian, discrete, and mixed data (Behrouzi and Wit, 2017a), particularly ... computations for large datasets. In addition, it contains several functions for simulation and visualization...
  • RcmdrPlugin.NMBU

  • Referenced in 0 articles [sw16589]
  • Commander ”plug-in” extending functionality of linear models and providing an interface to Partial Least ... offered for additional types of analyses, and extra plots, tests and mixed models are available...